Learn all about the often overlooked field of biostatistics. This course will help you generate more robust, reproducible, and streamlined data.
This course is designed to be completed in 1-2 hours. Your progress will be saved and you can return at any time.
Dr Toryn Poolman is a lecturer and biostatistician working at University College London. He has extensive experience working with complex biological systems and is a statistical magician! Let him guide you through the in's and out's of experimental design, statistics and all things data.
Welcome to "Statistics for Life Scientists"!
Lecturer and biostatistician, Dr. Toryn Pool, will walk you through the basics of statistics and teach you how to apply them to life science data.
Statistics plays a crucial role in life science research by providing tools to analyze, interpret, and draw meaningful conclusions from experimental data. It allows researchers to make informed decisions, assess the reliability of their findings, and understand the variability found within biological systems.
As life scientists, we face many difficulties in generating meaningful results and sometimes are guilty of applying certain statistical tests or reanalyzing data to reach a statistical threshold. However, this is not best practice and can result in irreproducible data that affects the scientific rigor of your data.
This course will enable you to better understand best practices in:
experimental design
data hygiene (record keeping)
statistical analyses
This will help you to improve your experimental results and provide more certainty in your conclusions.
In this section of the course, we will be learning more about probability and how this can be applied to statistical thinking and data interpretation.
In this section of the course, we'll be covering techniques for comparing groups of data. As well as covering two-group comparisons, we will also study how to compare larger experiments consisting of multiple conditions, such as drug-response comparison and TGF-B exposure.
Congratulations on completing the Proteintech ECR Training Hub Statistics for Life Scientists course. You are now ready to start analyzing your data!
Let's recap what we have learned.